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        <h2 id="数据集介绍"><a href="#数据集介绍" class="headerlink" title="数据集介绍"></a>数据集介绍</h2><p>UCDDB和SLPDB，进行介绍下，各个数据经过处理后的阶段表格，和Seff(%)如何计算以及AHI的判定介绍。</p>
<p> MIT-BIH多导睡眠图数据库是睡眠期间多种生理信号记录的集合 </p>
<h2 id="UCDDB"><a href="#UCDDB" class="headerlink" title="UCDDB"></a>UCDDB</h2><p>睡眠阶段由经验丰富的睡眠技术人员根据标准Rechtschaffen和Kales规则（请参见_stage.txt文件）进行评分。这些文件中的注释/含义是：</p>
<ul>
<li>0-唤醒</li>
<li>1-REM</li>
<li>2-阶段1</li>
<li>3-阶段2</li>
<li>4-阶段3</li>
<li>5-阶段4</li>
<li>6- Artifact </li>
<li>7-不确定</li>
</ul>
<table>
<thead>
<tr>
<th>Study</th>
<th><strong>N3</strong></th>
<th><strong>N2</strong></th>
<th><strong>N1</strong></th>
<th><strong>R</strong></th>
<th><strong>W</strong></th>
<th><strong>total</strong></th>
<th>AHI</th>
<th>Seff (%)</th>
</tr>
</thead>
<tbody><tr>
<td>UCDDB002</td>
<td>87</td>
<td>172</td>
<td>213</td>
<td>155</td>
<td>111</td>
<td>738</td>
<td>23</td>
<td>84.96</td>
</tr>
<tr>
<td>UCDDB003</td>
<td>164</td>
<td>254</td>
<td>106</td>
<td>190</td>
<td>157</td>
<td>871</td>
<td>51</td>
<td>81.97</td>
</tr>
<tr>
<td>UCDDB005</td>
<td>52</td>
<td>251</td>
<td>89</td>
<td>125</td>
<td>268</td>
<td>785</td>
<td>13</td>
<td>65.86</td>
</tr>
<tr>
<td>UCDDB006</td>
<td>248</td>
<td>92</td>
<td>171</td>
<td>184</td>
<td>54</td>
<td>749</td>
<td>31</td>
<td>92.79</td>
</tr>
<tr>
<td>UCDDB007</td>
<td>127</td>
<td>414</td>
<td>53</td>
<td>132</td>
<td>76</td>
<td>802</td>
<td>12</td>
<td>90.52</td>
</tr>
<tr>
<td>UCDDB008</td>
<td>81</td>
<td>301</td>
<td>76</td>
<td>33</td>
<td>174</td>
<td>665</td>
<td>5</td>
<td>73.83</td>
</tr>
<tr>
<td>UCDDB009</td>
<td>141</td>
<td>244</td>
<td>261</td>
<td>85</td>
<td>183</td>
<td>914</td>
<td>12</td>
<td>79.98</td>
</tr>
<tr>
<td>UCDDB010</td>
<td>79</td>
<td>464</td>
<td>118</td>
<td>168</td>
<td>67</td>
<td>896</td>
<td>34</td>
<td>92.52</td>
</tr>
<tr>
<td>UCDDB011</td>
<td>118</td>
<td>295</td>
<td>89</td>
<td>42</td>
<td>346</td>
<td>890</td>
<td>8</td>
<td>61.12</td>
</tr>
<tr>
<td>UCDDB012</td>
<td>146</td>
<td>336</td>
<td>58</td>
<td>194</td>
<td>119</td>
<td>853</td>
<td>25</td>
<td>86.05</td>
</tr>
<tr>
<td>UCDDB013</td>
<td>111</td>
<td>173</td>
<td>143</td>
<td>67</td>
<td>306</td>
<td>800</td>
<td>16</td>
<td>61.75</td>
</tr>
<tr>
<td>UCDDB014</td>
<td>0</td>
<td>267</td>
<td>260</td>
<td>82</td>
<td>154</td>
<td>763</td>
<td>36</td>
<td>79.82</td>
</tr>
<tr>
<td>UCDDB015</td>
<td>146</td>
<td>294</td>
<td>200</td>
<td>63</td>
<td>173</td>
<td>876</td>
<td>6</td>
<td>80.25</td>
</tr>
<tr>
<td>UCDDB017</td>
<td>65</td>
<td>392</td>
<td>36</td>
<td>193</td>
<td>92</td>
<td>778</td>
<td>12</td>
<td>88.17</td>
</tr>
<tr>
<td>UCDDB018</td>
<td>137</td>
<td>280</td>
<td>58</td>
<td>19</td>
<td>317</td>
<td>811</td>
<td>2</td>
<td>60.91</td>
</tr>
<tr>
<td>UCDDB019</td>
<td>196</td>
<td>352</td>
<td>45</td>
<td>186</td>
<td>61</td>
<td>840</td>
<td>16</td>
<td>92.74</td>
</tr>
<tr>
<td>UCDDB020</td>
<td>64</td>
<td>155</td>
<td>204</td>
<td>156</td>
<td>162</td>
<td>741</td>
<td>15</td>
<td>78.14</td>
</tr>
<tr>
<td>UCDDB021</td>
<td>127</td>
<td>370</td>
<td>115</td>
<td>128</td>
<td>133</td>
<td>873</td>
<td>13</td>
<td>84.77</td>
</tr>
<tr>
<td>UCDDB022</td>
<td>131</td>
<td>215</td>
<td>70</td>
<td>44</td>
<td>317</td>
<td>777</td>
<td>7</td>
<td>59.20</td>
</tr>
<tr>
<td>UCDDB023</td>
<td>26</td>
<td>179</td>
<td>172</td>
<td>38</td>
<td>212</td>
<td>627</td>
<td>39</td>
<td>66.19</td>
</tr>
<tr>
<td>UCDDB024</td>
<td>137</td>
<td>331</td>
<td>113</td>
<td>168</td>
<td>148</td>
<td>897</td>
<td>24</td>
<td>83.50</td>
</tr>
<tr>
<td>UCDDB025</td>
<td>9</td>
<td>124</td>
<td>367</td>
<td>46</td>
<td>154</td>
<td>700</td>
<td>91</td>
<td>78.00</td>
</tr>
<tr>
<td>UCDDB026</td>
<td>139</td>
<td>241</td>
<td>100</td>
<td>242</td>
<td>105</td>
<td>827</td>
<td>14</td>
<td>87.30</td>
</tr>
<tr>
<td>UCDDB027</td>
<td>35</td>
<td>530</td>
<td>62</td>
<td>139</td>
<td>116</td>
<td>882</td>
<td>55</td>
<td>86.85</td>
</tr>
<tr>
<td>UCDDB028</td>
<td>52</td>
<td>205</td>
<td>139</td>
<td>96</td>
<td>219</td>
<td>711</td>
<td>46</td>
<td>69.20</td>
</tr>
<tr>
<td>total</td>
<td>2663</td>
<td>6982</td>
<td>3393</td>
<td>3005</td>
<td>4496</td>
<td>20539</td>
<td></td>
<td></td>
</tr>
</tbody></table>
<h2 id="MIT-BIH多导睡眠图数据库SLPDB"><a href="#MIT-BIH多导睡眠图数据库SLPDB" class="headerlink" title="MIT-BIH多导睡眠图数据库SLPDB"></a>MIT-BIH多导睡眠图数据库SLPDB</h2><p> <a target="_blank" rel="noopener" href="https://www.physionet.org/files/slpdb/1.0.0/slpdb.html">https://www.physionet.org/files/slpdb/1.0.0/slpdb.html</a> </p>
<p>英文全名：MIT-BIH Polysomnographic Database</p>
<p>数据库的阶段判定</p>
<p>每条记录都包含一个头文件（<code>.hea</code>），一个简短的文本文件，其中包含有关信号类型，校准常数，记录长度以及（在文件的最后一行）年龄，性别和体重的信息（以千克为单位）的主题。<strong>在该数据库中，所有16名受试者均为男性，年龄在32至56岁（平均年龄43），体重在89至152千克（平均体重119千克）之间</strong>。记录<code>slp01a</code>和<code>slp01b</code>是一个受试者的多导睡眠图的片段，间隔约一小时。记录 <code>slp02a</code>和<code>slp02b</code>是另一位受试者的多导睡眠图的片段，相隔十分钟。<strong>其余14条记录全都来自不同的主题</strong>。</p>
<p>所有记录均包括ECG信号，侵入性血压信号（使用radial动脉中的导管测量），EEG信号和呼吸信号（在大多数情况下，来自鼻热敏电阻）。六通道和七通道记录还包括通过<strong>电感体积描记法</strong>得出的呼吸努力信号；有些包括EOG信号和EMG信号（来自下巴），其余的包括心搏量信号（请参阅下面的参考文献）和耳垂血氧仪信号。下表总结了每个记录的内容：</p>
<table>
<thead>
<tr>
<th>aux</th>
<th>meaning</th>
</tr>
</thead>
<tbody><tr>
<td>W</td>
<td>subject is awake</td>
</tr>
<tr>
<td>1</td>
<td>sleep stage 1</td>
</tr>
<tr>
<td>2</td>
<td>sleep stage 2</td>
</tr>
<tr>
<td>3</td>
<td>sleep stage 3</td>
</tr>
<tr>
<td>4</td>
<td>sleep stage 4</td>
</tr>
<tr>
<td>R</td>
<td>REM sleep</td>
</tr>
<tr>
<td>H</td>
<td>Hypopnea</td>
</tr>
<tr>
<td>HA</td>
<td>Hypopnea with arousal</td>
</tr>
<tr>
<td>OA</td>
<td>Obstructive apnea</td>
</tr>
<tr>
<td>X</td>
<td>Obstructive apnea with arousal</td>
</tr>
<tr>
<td>CA</td>
<td>Central apnea</td>
</tr>
<tr>
<td>CAA</td>
<td>Central apnea with arousal</td>
</tr>
<tr>
<td>L</td>
<td>Leg movements</td>
</tr>
<tr>
<td>LA</td>
<td>Leg movements with arousal</td>
</tr>
<tr>
<td>A</td>
<td>Unspecified arousal</td>
</tr>
<tr>
<td>MT</td>
<td>Movement time</td>
</tr>
</tbody></table>
<table>
<thead>
<tr>
<th>Data</th>
<th>N3</th>
<th>N2</th>
<th>N1</th>
<th>R</th>
<th>W</th>
<th>TOTAL</th>
<th>AHI</th>
<th>Seff(%)</th>
</tr>
</thead>
<tbody><tr>
<td>slp01a</td>
<td>108</td>
<td>103</td>
<td>0</td>
<td>12</td>
<td>5</td>
<td>228</td>
<td>17.0</td>
<td>97.81</td>
</tr>
<tr>
<td>slp01b</td>
<td>0</td>
<td>119</td>
<td>25</td>
<td>25</td>
<td>180</td>
<td>349</td>
<td>22.3</td>
<td>48.42</td>
</tr>
<tr>
<td>slp02a</td>
<td>7</td>
<td>195</td>
<td>18</td>
<td>77</td>
<td>52</td>
<td>349</td>
<td>34.0</td>
<td>85.10</td>
</tr>
<tr>
<td>slp02b</td>
<td>0</td>
<td>114</td>
<td>14</td>
<td>29</td>
<td>102</td>
<td>259</td>
<td>22.2</td>
<td>60.62</td>
</tr>
<tr>
<td>slp03</td>
<td>78</td>
<td>307</td>
<td>105</td>
<td>74</td>
<td>114</td>
<td>678</td>
<td>43.0</td>
<td>83.19</td>
</tr>
<tr>
<td>slp04</td>
<td>33</td>
<td>440</td>
<td>58</td>
<td>23</td>
<td>155</td>
<td>709</td>
<td>59.8</td>
<td>78.14</td>
</tr>
<tr>
<td>slp14</td>
<td>42</td>
<td>126</td>
<td>183</td>
<td>36</td>
<td>316</td>
<td>703</td>
<td>30.7</td>
<td>55.05</td>
</tr>
<tr>
<td>slp16</td>
<td>24</td>
<td>181</td>
<td>107</td>
<td>65</td>
<td>306</td>
<td>683</td>
<td>53.1</td>
<td>55.20</td>
</tr>
<tr>
<td>slp32</td>
<td>60</td>
<td>159</td>
<td>27</td>
<td>0</td>
<td>383</td>
<td>629</td>
<td>22.1</td>
<td>39.11</td>
</tr>
<tr>
<td>slp37</td>
<td>0</td>
<td>586</td>
<td>17</td>
<td>11</td>
<td>73</td>
<td>687</td>
<td>100.8</td>
<td>89.37</td>
</tr>
<tr>
<td>slp41</td>
<td>13</td>
<td>218</td>
<td>230</td>
<td>90</td>
<td>218</td>
<td>769</td>
<td>60 [2]</td>
<td>71.65</td>
</tr>
<tr>
<td>slp45</td>
<td>103</td>
<td>399</td>
<td>54</td>
<td>81</td>
<td>112</td>
<td>749</td>
<td>5 [2]</td>
<td>85.05</td>
</tr>
<tr>
<td>slp48</td>
<td>0</td>
<td>269</td>
<td>238</td>
<td>31</td>
<td>209</td>
<td>747</td>
<td>46.8</td>
<td>72.02</td>
</tr>
<tr>
<td>slp59</td>
<td>80</td>
<td>92</td>
<td>105</td>
<td>35</td>
<td>135</td>
<td>447</td>
<td>55.3</td>
<td>69.80</td>
</tr>
<tr>
<td>slp60</td>
<td>0</td>
<td>49</td>
<td>321</td>
<td>31</td>
<td>276</td>
<td>677</td>
<td>59.2</td>
<td>59.23</td>
</tr>
<tr>
<td>slp61</td>
<td>103</td>
<td>326</td>
<td>88</td>
<td>73</td>
<td>119</td>
<td>709</td>
<td>41.2</td>
<td>83.22</td>
</tr>
<tr>
<td>slp66</td>
<td>5</td>
<td>116</td>
<td>141</td>
<td>0</td>
<td>167</td>
<td>429</td>
<td>65.5</td>
<td>61.07</td>
</tr>
<tr>
<td>slp67x</td>
<td>0</td>
<td>40</td>
<td>37</td>
<td>0</td>
<td>65</td>
<td>142</td>
<td>0.7</td>
<td>54.23</td>
</tr>
<tr>
<td>total</td>
<td>656</td>
<td>3839</td>
<td>1768</td>
<td>693</td>
<td>2987</td>
<td>9943</td>
<td></td>
<td></td>
</tr>
</tbody></table>
<p><img src="/images/wuli"></p>
<p><img src="/images/%E5%96%B5%E5%86%85.jpg" alt="喵内"></p>

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